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This listing doesn't post a salary. Most similar roles pay
$151,000–$185,050.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1262 open roles
on FindRole.
Listed pay typically runs
$150,433–$215,000
across 11 roles with salary data.
The Senior Lead Software Engineer joins the Corporate Sector - CFS Cloud Enablement Team to build and deliver secure, scalable technology products. You will provide architectural direction and technical guidance for workflow automation, AI/ML platforms, and cloud-native solutions. Daily responsibilities include designing end-to-end pipelines, developing production code, and defining best practices for CI/CD, MLOps, and infrastructure-as-code. You will utilize Python, AWS services like SageMaker and Bedrock, Terraform, and GitHub Copilot to drive efficiency. The role requires deep expertise in AWS cloud architecture, intelligent automation, and responsible AI governance. You will solve complex problems by scaling operating practices for AI-assisted engineering, ensuring security and reliability across multiple teams while managing the full software development life cycle for enterprise-authorized automation tools.
Provide technical guidance and architectural direction for workflow automation, AI/ML platforms, and cloud-native solutions.
Design and implement end-to-end workflow automation solutions and AI/ML pipelines from architecture to production.
Develop, review, and optimize high-quality production code using AI-assisted development practices.
Drive architectural decisions for product design and technical operations using Terraform for infrastructure-as-code.
Define and enforce best practices for CI/CD pipelines, model lifecycle management, and automated testing.
Influence the adoption of leading-edge technologies like LLMs, agentic AI frameworks, and cloud-native automation services.
Scale operating practices for enterprise-authorized AI-assisted engineering and SDLC automation across multiple teams.
Champion AWS Well-Architected principles and responsible AI/ML governance within the engineering community.
What we're looking for
Formal training or certification on software engineering concepts and 10+ years of applied experience.
Hands-on experience delivering system design, application development, testing, and operational stability for production-grade AI/ML and automation solutions.
Advanced proficiency in Python.
Advanced knowledge of AI/ML frameworks and tooling, including their operationalization in cloud environments.
Deep expertise in AWS cloud services including Step Functions, Lambda, ECS/EKS, SageMaker, Bedrock, Glue, EventBridge, and IAM.
Proficiency in Terraform for infrastructure-as-code, including module development and multi-environment deployment patterns.
Experience with GitHub Copilot and AI-assisted development workflows, including evaluating and scaling AI coding tools.
Familiarity with SQL, Bash, or TypeScript/JavaScript (preferred).
Hands-on experience developing in Java or Golang (preferred).